Book Image

Expert C++

By : Vardan Grigoryan, Shunguang Wu
5 (1)
Book Image

Expert C++

5 (1)
By: Vardan Grigoryan, Shunguang Wu

Overview of this book

C++ has evolved over the years and the latest release – C++20 – is now available. Since C++11, C++ has been constantly enhancing the language feature set. With the new version, you’ll explore an array of features such as concepts, modules, ranges, and coroutines. This book will be your guide to learning the intricacies of the language, techniques, C++ tools, and the new features introduced in C++20, while also helping you apply these when building modern and resilient software. You’ll start by exploring the latest features of C++, and then move on to advanced techniques such as multithreading, concurrency, debugging, monitoring, and high-performance programming. The book will delve into object-oriented programming principles and the C++ Standard Template Library, and even show you how to create custom templates. After this, you’ll learn about different approaches such as test-driven development (TDD), behavior-driven development (BDD), and domain-driven design (DDD), before taking a look at the coding best practices and design patterns essential for building professional-grade applications. Toward the end of the book, you will gain useful insights into the recent C++ advancements in AI and machine learning. By the end of this C++ programming book, you’ll have gained expertise in real-world application development, including the process of designing complex software.
Table of Contents (22 chapters)
1
Section 1: Under the Hood of C++ Programming
7
Section 2: Designing Robust and Efficient Applications
17
Section 3: C++ in the AI World

Designing Concurrent Data Structures

In the previous chapter, we touched on the basics of concurrency and multithreading in C++. One of the biggest challenges in concurrent code design is properly handling data races. Thread synchronization and orchestration is not an easy topic to grasp, although we might consider it the most important one. While we can use synchronization primitives such as mutexes everywhere that we have the slightest doubt about a data race, it's not a best practice that we would advise.

A better way of designing concurrent code is to avoid locks at all costs. That would not only increase the performance of the application but also make it much safer than before. Easier said than done – lock-free programming is a challenging topic that we are introducing in this chapter. In particular, we will go further into the fundamentals of designing lock...